About this book

There is an explosion of interest in Bayesian statistics, primarily because recently created computational methods have finally made Bayesian analysis obtainable to a wide audience. This book provides an accessible approach to Bayesian data analysis, as material is explained clearly with concrete examples.

This book begins with the basics, including essential concepts of probability and random sampling, and gradually progresses to advanced hierarchical modeling methods for realistic data. The text delivers comprehensive coverage of all scenarios addressed by non-Bayesian textbooks - t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis).

Contents

- This Book's Organization: Read me First!- The Basics: Parameters, Probability, Bayes' Rule and R- What is this stuff called probability?- Bayes' Rule